Abstract
The practice of precision medicine requires reliable and informative biomarkers to guide clinical management decisions. Tests based on biomarkers may be used for a variety of purposes, including to inform prognosis, select therapy, and monitor for disease recurrence or progression. Biomarker-based tests are already widely used for clinical management of breast cancer, for example the use of hormone receptors for guiding use of endocrine therapies, HER2 status for selection of HER2-targeting agents, and gene expression signatures for prognosis and decisions about use of adjuvant chemotherapy. In order to translate a biological finding to a clinical-grade biomarker test for use in patient care decisions, one must begin with consideration of what decision the biomarker test will inform and in what patient population and clinical setting it will be used in order to determine what evidence must be accumulated to support the proposed use. Essential steps in the evidentiary process include establishing analytical validity of the biomarker measurement process, demonstrating clinical validity of the biomarker by establishing its association with a clinical endpoint of interest, and showing that the biomarker test has clinical utility in the sense that its clinical use leads to a favor benefit-to-risk balance for the patient. Through a series of examples, evidence requirements and interpretation are illustrated. Adherence to the principles set forth here should aid in making the clinical translation of biomarkers more efficient and lead to wider availability of biomarker-based tests that perform reliably and can be used with confidence to inform clinical management decisions that lead to better outcomes for patients with breast cancer.
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References
Allard WJ, Matera J, Miller MC et al (2004) Tumor cells circulate in the peripheral blood of all major carcinomas but not in healthy subjects or patients with nonmalignant diseases. Clin Cancer Res 10:6897–6904
Altman DG, McShane LM, Sauerbrei W et al (2012) Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration. BMC Med 10:51. http://www.biomedcentral.com/1741-7015/10/51
Anderson JR, Cain KC, Gelber RD (1983) Analysis of survival by tumor response. J Clin Oncol 1(11):710–719
Becker R Jr (2015) Analytical validation of in vitro diagnostic tests. In: Matsui S, Buyse M, Simon R (eds) Design and analysis of clinical trials for predictive medicine. Chapman and Hall/CRC, Boca Raton, pp 33–49
Bergfeldt K, Rydh B, Granath F et al (2002) Risk of ovarian cancer in breast-cancer patients with a family history of breast or ovarian cancer: a population-based cohort study. Lancet 360:891–894
Berruti A, Amoroso V, Gallo F et al (2014) Pathologic complete response as a potential surrogate for the clinical outcome in patients with breast cancer after neoadjuvant therapy: a meta-regression of 29 randomized prospective studies. J Clin Oncol 32:3883–3891
Bossuyt PM, Reitsma JB, Bruns DE et al (2003a) Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Standards for reporting of diagnostic accuracy. Clin Chem 49(1):1–6
Bossuyt PM, Reitsma JB, Bruns DE et al (2003b) The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Clin Chem 49(1):7–18
Bossuyt PM, Reitsma JB, Bruns DE et al (2015) An updated list of essential items for reporting diagnostic accuracy studies. Clin Chem 61(12):1446–1452. doi:10.1373/clinchem.2015.246280
Brekelmans CTM, Tilanus-Linthorst MMA, Seynaeve C et al (2007) Tumour characteristics, survival and prognostic factors of hereditary breast cancer from BRCA2-, BRCA1- and non-BRCA1/2 families as compared to sporadic breast cancer cases. Eur J Cancer 43:867–876
Centers for Medicare & Medicaid Services (CMS) (2016) Clinical laboratory improvement amendments (CLIA). http://www.cms.gov/CLIA/05_CLIA_Brochures.asp. Accessed 29 Feb 2016
Clinical Laboratory Standards Institute (CLSI) (2010) I/LA28-A2: quality assurance for design control and implementation of immunohistochemistry assays, approved guideline, 2nd edn. Clinical Laboratory Standards Institute, Wayne, PA
College of American Pathologists (2016) 2016 surveys and anatomic pathology education programs. http://www.cap.org/ShowProperty?nodePath=/UCMCon/Contribution%20Folders/WebContent/pdf/2016-surveys-catalog.pdf. Accessed 29 Feb 2016
Cortazar P, Zhang L, Untch M (2014) Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis. Lancet 384:164–172
Cox DR (1972) Regression models and life-tables. J R Stat Soc B 34(2):187–220
Cronin M, Sangli C, Liu M-L et al (2007) Analytical validation of the Oncotype DX genomic diagnostic test for recurrence prognosis and therapeutic response prediction in node-negative, estrogen receptor–positive breast cancer. Clin Chem 53(6):1084–1091
EQUATOR Network (2016) Enhancing the quality and transparency of health research. http://www.equator-network.org/reporting-guidelines/. Accessed 29 Feb 2016
FDA-NIH Biomarker Working Group (2016) Glossary. In: BEST (Biomarkers, EndpointS, and other Tools) resource. U.S. Food and Drug Administration (FDA) and National Institutes of Health (NIH). Available via Internet. http://www.ncbi.nlm.nih.gov/books/NBK338448/. Accessed 29 Feb 2016
Filipits M, Rudas M, Jakesz R et al (2011) A new molecular predictor of distant recurrence in ER-positive HER2-negative breast cancer adds independent information to conventional clinical risk factors. Clin Cancer Res 17:6012–6020
Freidlin B, Korn EL (2014) Biomarker enrichment strategies: matching trial design to biomarker credentials. Nat Rev Clin Oncol 11:81–90
Freidlin B, McShane LM, Korn EL (2010) Randomized clinical trials with biomarkers: design issues. J Natl Cancer Inst 102(3):152–160
Genomic Health (2016) Oncotype DX breast cancer assay. http://www.oncotypedx.com/. Accessed 29 Feb 2016
Hammond MEH, Allred DC, Dowsett M et al (2010) American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen/progesterone receptors in breast cancer. J Clin Oncol 28(16):2784–2795
Hanley JA, McNeil BJ (1982) The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143:29–36
Harris LN, Ismaila N, McShane LM et al (2016) Use of biomarkers to guide decisions on adjuvant systemic therapy for women with early-stage invasive breast cancer: American Society of Clinical Oncology clinical practice guideline. J Clin Oncol 34(10):1134–1150
Jennings L, Van Deerlin VM, Gulley ML et al (2009) Recommended principles and practices for validating clinical molecular pathology tests. Arch Pathol Lab Med 133:743–755
Korn EL, Sachs MC, McShane LM (2016) Statistical controversies in clinical research: assessing pathologic complete response as a trial-level surrogate end point for early-stage breast cancer. Ann Oncol 27:10–15
Linnet K, Boyd JC (2012) Selection and analytical evaluation of methods with statistical techniques. In: Burtis CA, Ashwood ER, Bruns DE (eds) Tietz textbook of clinical chemistry and molecular diagnostics, 5th edn. Elsevier Saunders, St Louis, pp 7–47
Matsui S, Buyse M, Simon R (eds) (2015) Design and analysis of clinical trials for predictive medicine. Chapman and Hall/CRC, Boca Raton
McShane LM, Polley M-YC (2013) Development of omics-based clinical tests: the challenge of achieving statistical robustness and clinical utility. Clin Trials 10:653–665
McShane LM, Altman DG, Sauerbrei W et al (2005) Reporting recommendations for tumor marker prognostic studies (REMARK). J Natl Cancer Inst 97(16):1180–1184
Micheel CM, Nass S, Omenn GS (eds) (2012) Evolution of translational omics: lessons learned and the path forward. The National Academies Press, Institute of Medicine, Washington DC
Moore HM, Kelly AB, Jewell SD et al (2011) Biospecimen reporting for improved study quality (BRISQ). Cancer Cytopathol 119:92–101
Nielsen T, Wallden B, Schaper C et al (2014) Analytical validation of the PAM50-based Prosigna Breast Cancer Prognostic Gene Signature Assay and nCounter Analysis System using formalin-fixed paraffin-embedded breast tumor specimens. BMC Cancer 14:177
Pathmanathan N, Balleine RL, Jayasinghe UW et al (2014) The prognostic value of Ki67 in systemically untreated patients with node-negative breast cancer. J Clin Pathol 67:222–228. doi:10.1136/jclinpath-2013-201793
Pennello GA (2013) Analytical and clinical evaluation of biomarkers assays: when are biomarkers ready for prime time? Clin Trials 10:666–676
Polley M-YC, Freidlin B, Korn EL et al (2013a) Statistical and practical considerations for clinical evaluation of predictive biomarkers. J Natl Cancer Inst 105(22):1677–1683
Polley M-YC, Leung SCY, McShane LM et al (2013b) An international Ki67 reproducibility study. J Natl Cancer Inst 105(24):1897–1906
Sargent DJ, Conley BA, Allegra C et al (2005) Clinical trial designs for predictive marker validation in cancer treatment trials. J Clin Oncol 23:2020–2027
Simon RM, Paik S, Hayes DF (2009) Use of archived specimens in evaluation of prognostic and predictive biomarkers. J Natl Cancer Inst 101:1446–1452
Smerage JB, Barlow WE, Hortobagyi GN et al (2014) Circulating tumor cells and response to chemotherapy in metastatic breast cancer: SWOG S0500. J Clin Oncol 32:3483–3489
Söletormos G, Duffy MJ, Hayes DF et al (2013) Design of tumor biomarker-monitoring trials: a proposal by the European group on tumor markers. Clin Chem 59(1):52–59
Stuart-Harris R, Caldas C, Pinder SE et al (2008) Proliferation markers and survival in early breast cancer: a systematic review and meta-analysis of 85 studies in 32,825 patients. Breast 17:323–334
U.S. Food and Drug Administration (FDA) (2006) 510(k) Summary for CELLSEARCH® circulating tumor cell kit. http://www.accessdata.fda.gov/cdrh_docs/pdf6/k062013.pdf. Accessed 29 Feb 2016
U.S. Food and Drug Administration (FDA) (2013) 510(k) Summary for ProsignaTM breast cancer prognostic gene signature assay. http://www.accessdata.fda.gov/cdrh_docs/pdf13/k130010.pdf. Accessed 29 Feb 2016
U.S. Food and Drug Administration (FDA) (2014a) FDA decisions for investigational device exemption clinical investigations: guidance for sponsors, clinical investigators, institutional review boards, and Food and Drug Administration staff. U.S. Department of Health and Human Services, Food and Drug Administration, Rockville MD. Available via Internet. http://www.fda.gov/downloads/medicaldevices/deviceregulationandguidance/guidancedocuments/ucm279107.pdf. Accessed 29 Feb 2016
U.S. Food and Drug Administration (FDA) (2014b) Framework for regulatory oversight of laboratory developed tests (LDTs): draft guidance for industry, Food and Drug Administration staff, and clinical laboratories. U.S. Department of Health and Human Services, Food and Drug Administration, Rockville MD. Available via Internet. http://www.fda.gov/downloads/medicaldevices/deviceregulationandguidance/guidancedocuments/ucm416685.pdf. Accessed 29 Feb 2016
U.S. Food and Drug Administration (FDA) (2015) MammaPrint® FFPE 510(k) substantial equivalence determination decision memorandum: assay and instrument combination template. http://www.accessdata.fda.gov/cdrh_docs/reviews/k141142.pdf. Accessed 29 Feb 2016
Van Poznak C, Somerfield MR, Bast RC et al (2015) Use of biomarkers to guide decisions on systemic therapy for women with metastatic breast cancer: American Society of Clinical Oncology clinical practice guideline. J Clin Oncol 33(24):2695–2704
Wolff AC, Hammond ME, Schwartz JN et al (2007) American Society of Clinical Oncology/College of American Pathologists guideline recommendations for Human Epidermal Growth Factor Receptor 2 testing in breast cancer. J Clin Oncol 25(1):118–145
Wolff AC, Hammond ME, Hicks DG et al (2013) Recommendations for Human Epidermal Growth Factor Receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. J Clin Oncol 31(31):3997–4013
Zou KH, O’Malley AJ, Mauri L (2007) Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models. Circulation 115:654–657
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McShane, L.M., Lively, T.G., Makhlouf, H.R. (2016). Translation of Biomarkers into Clinical Practice. In: Badve, S., Gökmen-Polar, Y. (eds) Molecular Pathology of Breast Cancer. Springer, Cham. https://doi.org/10.1007/978-3-319-41761-5_1
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DOI: https://doi.org/10.1007/978-3-319-41761-5_1
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